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Generative Deep Learning

Teaching Machines to paint, write, compose and play

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/

https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1

Tensorflow

This branch uses standalone Keras with a Tensorflow 1.14 backend. See the tensorflow_2 branch for the Keras within Tensorflow 2.0 version of the codebase.

Structure

This repository is structured as follows:

The notebooks for each chapter are in the root of the repository, prefixed with the chapter number.

The data folder is where to download relevant data sources (chapter 3 onwards) The run folder stores output from the generative models (chapter 3 onwards) The utils folder stores useful functions that are sourced by the main notebooks

Book Contents

Part 1: Introduction to Generative Deep Learning

  • Chapter 1: Generative Modeling
  • Chapter 2: Deep Learning
  • Chapter 3: Variational Autoencoders
  • Chapter 4: Generative Adversarial Networks

Part 2: Teaching Machines to Paint, Write, Compose and Play

  • Chapter 5: Paint
  • Chapter 6: Write
  • Chapter 7: Compose
  • Chapter 8: Play
  • Chapter 9: The Future of Generative Modeling
  • Chapter 10: Conclusion

Getting started

To get started, first install the required libraries inside a virtual environment:

pip install -r requirements.txt